{"id":"W7165833064","doi":"","title":"Weakly supervised anomaly detection for resonant new physics in the dijet final state using proton-proton collisions at √s = 13 TeV with the ATLAS detector","year":2025,"lang":"en","type":"other","venue":"El Servicio de Difusión de la Creación Intelectual (National University of La Plata)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHIST-ERA; H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Estatal de Investigación; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Horizon 2020 Framework Programme; Narodowa Agencja Wymiany Akademickiej; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Ministerstvo Školství, Mládeže a Tělovýchovy; National Science and Technology Council; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; U.S. Department of Energy; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Knut och Alice Wallenbergs Stiftelse; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Agencia Nacional de Investigación y Desarrollo; UK Research and Innovation; Istituto Nazionale di Fisica Nucleare; Ministero dell'Università e della Ricerca; Grantová Agentura České Republiky; Austrian Science Fund; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; National Science Foundation; Baden-Württemberg Stiftung; H2020 European Research Council; Norges Forskningsråd; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; CERN; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación","keywords":"Substructure; Large Hadron Collider; Atlas detector; Atlas (anatomy); Detector; Anomaly detection; Physics beyond the Standard Model; Invariant mass","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009469806,0.0005031013,0.0005353553,0.001291083,0.0003536297,0.0009132526,0.0005910813,0.0003738435,0.0006042182],"category_scores_gemma":[0.001675511,0.0001676204,0.000398054,0.0009360032,0.0002983743,0.0003797205,0.0009949697,0.0004472671,0.0002535201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690862,"about_ca_system_score_gemma":0.0004587616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003040918,"about_ca_topic_score_gemma":0.003996192,"domain_scores_codex":[0.9993415,0.0001589499,0.00003139347,0.0001449105,0.0002167551,0.0001064577],"domain_scores_gemma":[0.9991394,0.0003160545,0.0001854816,0.0001143879,0.0001391475,0.0001055587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005724496,0.0009228173,0.577818,0.0003220026,0.000856994,0.002842315,0.0004152801,0.1532347,0.1098274,0.006867784,0.006533887,0.1346344],"study_design_scores_gemma":[0.0001077169,0.0003240514,0.1425226,0.00001411803,0.00009480905,0.0006674338,0.0001520539,0.8153061,0.03486984,0.003660605,0.002196174,0.00008443242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865713,0.00009781917,0.01080841,0.00007631865,0.00001911534,0.00001480332,0.0006363895,0.000514588,0.001261191],"genre_scores_gemma":[0.9920854,0.00003199637,0.005242013,0.00001661982,0.00001794156,0.000007084621,0.002098463,0.0000421635,0.0004582449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003040918,"threshold_uncertainty_score":0.006046414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726391042288077,"score_gpt":0.2698112526540694,"score_spread":0.2425473422311886,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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